• What “Manufacturing AI Agents” really are (and what they are not)
• Concrete use cases with measurable business impact
• How manufacturing leaders can start safely and pragmatically

• Turning leadership consistency into a competitive advantage through Process Intelligence and performance software
•  Aligning frontline execution to enterprise priorities with clear, visible expectations
• Converting data into leadership discipline that improves accountability and decision quality
• Enabling focused executive and plant level conversations grounded in real time insight
•  Strengthening operational reliability across safety, quality, and productivity
• Scaling high functioning leadership behaviors across plants, regions, and the enterprise

• Addressing the challenge of a retiring workforce: how to leverage tribal knowledge and historical data to upskill new workers
• Empowering frontline workers with AI Diagnostics to achieve faster troubleshooting
• Leveraging agentic AI for root cause analysis and improving first-time-right fixes

• Why extensive long-range planning so often fails to translate into achieved strategic outcomes.
• The root causes behind poor strategic execution
• The critical processes required to prepare the organization for successful execution.
• How to embed strategic initiatives into the monthly Integrated Business Planning (IBP) cycle to operationalize strategy.
• Practical tools, templates, and techniques to track progress, manage resources, and forecast initiative impact.
• How IBP aligns teams, accelerates execution, and delivers measurable, sustained results.

• Breaking down silos between finance, operations, and supply chain
• Gaining real-time visibility into costs, margins, and performance drivers
• Leveraging AI for proactive scenario planning and variance analysis
• Transforming finance into a strategic partner for operational decisions
• Case insights: accelerating insights from weeks to minutes

• Leveraging AI to anticipate quality issues and take action before they impact output
• Implementing repeatable lean tools to standardize processes and improve team efficiency
• Driving continuous improvement by embedding advanced analytics into lean initiatives
• Using predictive insights to elevate production planning and decision-making
• Aligning cross-functional teams to support lean transformation and performance ownership

• Managing complex cell therapy manufacturing plants where precision, compliance, and speed are equally critical
• Translating enterprise strategy into day-to-day plant execution in regulated, high-variability environments
• Building strong site leadership teams to drive accountability, engagement, and consistent performance
• Embedding quality, safety, and regulatory excellence into every aspect of plant operations
• Leveraging digital tools, real-time data, and standardized work to improve visibility and decision-making on the shop floor
• Scaling plant capabilities to support clinical-to-commercial transitions and future pipeline growth

• Shifting from transactional approver roles to trusted, enterprise-level business partners
• Earning a place at the table of influence on new product development, regulatory strategy and other major decisions from the earliest stages
• Communicating effectively in the language of business risk, metrics, and P&L impact
• Reframing constraints and compliance challenges into viable, value-creating paths forward
• Demonstrating value beyond conventional expectations by proactively offering suggestions, performance data and market intelligence that drive business growth

• Building a reliability-first asset strategy powered by smart automation
• Automating physical and information processes to enable near lights-out manufacturing
• Building the factory of the future with a solid foundation of People, Process, Technology and Data.
• The confluence of LEAN/TPM and Shop Floor Digitization
• Aligning automation and engineering initiatives with business and growth goals
• Strengthening collaboration across engineering, operations, IT, and automation teams

• Aligning enterprise capital investment strategy with long-term manufacturing and growth priorities
• Prioritizing and governing capital projects to maximize value, speed, and operational impact
• Standardizing engineering practices to improve project execution, safety, and cost performance
• Building cross-functional collaboration between engineering, operations, and finance to drive disciplined execution

• The Four Failure Patterns that compound to create systematic execution breakdown across 70-80% of organizations
• The Behavioral Architecture that explains why initiatives fail despite capable people and sound strategies
• A Diagnostic Framework leaders can immediately apply to identify their organization's specific barriers and design targeted interventions

• Modern APS systems use advanced optimization algorithms to create efficient plans and production schedules
• Changes in supply chain conditions, demand, and manufacturing constraints often occur between planning and execution. As a result, optimized plans can quickly lose relevance or become difficult to execute on the shop floor
• Aligning optimized planning with real world execution has long been a key goal of S&OP and S&OE initiatives. Many organizations struggle to achieve this alignment due to fragmented data, limited execution visibility, and static planning assumptions
• A unified, high resolution data foundation can help reconcile planning decisions with execution realities
• Advanced optimization techniques can support continuous adjustment of plans and schedules as conditions change

• Moving beyond alerts to evidence-backed maintenance decisions
• Identifying which issues matter now—and which can safely wait
• Turning continuous machine data into clear maintenance priorities
• Reducing reactive work by acting earlier and with confidence
• Enabling teams to focus on reliability, not data interpretation

James Chapman spent 15 years leading distributed operations where delays cost millions. When he partnered with TXI, the goal wasn't "digital transformation." It was clear and measurable: reduce repair cycle times by 10 days and unlock $15M+ in annual savings. In this session, James and Jason will share:

• What was actually causing performance drag at the frontline
• How disconnected systems quietly killed productivity
• Why siloed data limited AI impact
• How to earn executive buy-in for meaningful change
• When custom software became worth the investment
• A practical framework you can apply inside your own operations

• What “AI for manufacturing” actually means, and how to separate real impact from buzzwords
• How Champion AI leverages real-time shop floor data to identify performance gaps, coaching moments, and hidden capacity
• Moving beyond dashboards: delivering actionable insights directly to frontline teams
• Connecting AI to culture: driving engagement, accountability, and measurable productivity gains